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Generative AI, large language models (LLMs), and an ever-increasing emphasis on the value of data, has enterprises worldwide scrambling to optimize their data architecture and assets. This is in anticipation of a never-before-seen demand. Many organizations have solely focused on pulling all their data assets into one place with little consideration of the support required in the future to make this data accessible across their organizations. In a way, this creates a culture of data selfishness, often overlooking of the needs of teams and stakeholders who will realize new data access requirements in the near future.